## Scala * 下载安装包 ``` wget https://downloads.lightbend.com/scala/2.11.8/scala-2.11.8.tgz ``` ## maven * 解压 ``` tar -zxvf apache-maven-3.6.0-bin.tar.gz -C ~/app/ ``` * 环境变量添加 ``` export MAVEN_HOME=/home/bizzbee/app/apache-maven-3.6.0 export PATH=$MAVEN_HOME/bin:$PATH ``` * 阿里云镜像 ``` <mirror> <id>nexus-aliyun</id> <mirrorOf>central</mirrorOf> <name>Nexus aliyun</name> <url>http://maven.aliyun.com/nexus/content/groups/public</url> </mirror> ``` ## Hbase * 下载 ``` wget https://mirrors.tuna.tsinghua.edu.cn/apache/hbase/hbase-1.3.6/hbase-1.3.6-bin.tar.gz ``` * 解压和环境变量 ``` export HBASE_HOME=/home/bizzbee/app/hbase-1.3.6 export PATH=$HBASE_HOME/bin:$PATH ``` * 配置 * hbase-env.sh ```bash # The java implementation to use. Java 1.7+ required. # export JAVA_HOME=/usr/java/jdk1.6.0/ export JAVA_HOME=/home/bizzbee/app/jdk1.8.0_221 不使用hbase的zookeeper而是使用我们自己的。 # Tell HBase whether it should manage it's own instance of Zookeeper or not. export HBASE_MANAGES_ZK=false ``` * hbase-site.sh (记得填写hosts) ``` <configuration> # 和hadoop的core-site一致 <property> <name>hbase.rootdir</name> <value>hdfs://bizzbee:8020/hbase</value> </property> <property> <name>hbase.cluster.distributed</name> <value>true</value> </property> # zookeeper地址 <property> <name>hbase.zookeeper.quorum</name> <value>spark:2181</value> </property> </configuration> ``` * 启动zookeeper ``` [bizzbee@spark zookeeper-3.4.5-cdh5.7.0]$ bin/zkServer.sh start ``` * 启动HBase ``` [bizzbee@spark bin]$ ./start-hbase.sh [bizzbee@spark bin]$ jps 19378 HMaster 19236 QuorumPeerMain 20157 Jps 19806 HRegionServer ``` ## Spark安装 * Spark要按照使用不同Hadoop(HDFS)的版本，编译成不同的版本。所以最好从官网下载源码包，自己进行编译。  * 为了节省时间，不自己编译了。用如下文章中编译好的，里面有方法。 [编译方法](https://blog.csdn.net/u013385925/article/details/81290744) * 解压 * 配置环境变量 * 启动 ``` [bizzbee@spark bin]$ ./spark-shell --master local[2] ```  ##spark开发环境搭建 * pom.xml ~~~ <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd"> <modelVersion>4.0.0</modelVersion> <groupId>com.bizzbee.spark</groupId> <artifactId>spark-train</artifactId> <version>1.0</version> <inceptionYear>2008</inceptionYear> <properties> <scala.version>2.11.8</scala.version> <kafka.version>0.9.0.0</kafka.version> <spark.version>2.2.0</spark.version> <hadoop.version>2.6.0-cdh5.7.0</hadoop.version> <hbase.version>1.2.0-cdh5.7.0</hbase.version> </properties> <!--添加cloudera的repository--> <repositories> <repository> <id>cloudera</id> <url>https://repository.cloudera.com/artifactory/cloudera-repos</url> </repository> </repositories> <dependencies> <dependency> <groupId>org.scala-lang</groupId> <artifactId>scala-library</artifactId> <version>${scala.version}</version> </dependency> <!-- Kafka 依赖--> <!-- <dependency> <groupId>org.apache.kafka</groupId> <artifactId>kafka_2.11</artifactId> <version>${kafka.version}</version> </dependency> --> <!-- Hadoop 依赖--> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-client</artifactId> <version>${hadoop.version}</version> </dependency> <!-- HBase 依赖--> <dependency> <groupId>org.apache.hbase</groupId> <artifactId>hbase-client</artifactId> <version>${hbase.version}</version> </dependency> <dependency> <groupId>org.apache.hbase</groupId> <artifactId>hbase-server</artifactId> <version>${hbase.version}</version> </dependency> <!-- Spark Streaming 依赖--> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-streaming_2.11</artifactId> <version>${spark.version}</version> </dependency> <!-- Spark Streaming整合Flume 依赖--> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-streaming-flume_2.11</artifactId> <version>${spark.version}</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-streaming-flume-sink_2.11</artifactId> <version>${spark.version}</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-streaming-kafka-0-8_2.11</artifactId> <version>${spark.version}</version> </dependency> <dependency> <groupId>org.apache.commons</groupId> <artifactId>commons-lang3</artifactId> <version>3.5</version> </dependency> <!-- Spark SQL 依赖--> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-sql_2.11</artifactId> <version>${spark.version}</version> </dependency> <dependency> <groupId>com.fasterxml.jackson.module</groupId> <artifactId>jackson-module-scala_2.11</artifactId> <version>2.6.5</version> </dependency> <dependency> <groupId>net.jpountz.lz4</groupId> <artifactId>lz4</artifactId> <version>1.3.0</version> </dependency> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> <version>5.1.38</version> </dependency> <dependency> <groupId>org.apache.flume.flume-ng-clients</groupId> <artifactId>flume-ng-log4jappender</artifactId> <version>1.6.0</version> </dependency> <dependency> <!--groupId jar包所在的项目的包路径 --> <groupId>org.apache.hadoop</groupId> <!--artifactId jar包的名称 --> <artifactId>hadoop-hdfs</artifactId> <!--version jar包的版本 --> <version>2.6.0-cdh5.7.0</version> </dependency> </dependencies> <build> <!-- <sourceDirectory>src/main/scala</sourceDirectory> <testSourceDirectory>src/test/scala</testSourceDirectory> --> <plugins> <plugin> <groupId>org.scala-tools</groupId> <artifactId>maven-scala-plugin</artifactId> <executions> <execution> <goals> <goal>compile</goal> <goal>testCompile</goal> </goals> </execution> </executions> <configuration> <scalaVersion>${scala.version}</scalaVersion> <args> <arg>-target:jvm-1.5</arg> </args> </configuration> </plugin> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-eclipse-plugin</artifactId> <configuration> <downloadSources>true</downloadSources> <buildcommands> <buildcommand>ch.epfl.lamp.sdt.core.scalabuilder</buildcommand> </buildcommands> <additionalProjectnatures> <projectnature>ch.epfl.lamp.sdt.core.scalanature</projectnature> </additionalProjectnatures> <classpathContainers> <classpathContainer>org.eclipse.jdt.launching.JRE_CONTAINER</classpathContainer> <classpathContainer>ch.epfl.lamp.sdt.launching.SCALA_CONTAINER</classpathContainer> </classpathContainers> </configuration> </plugin> </plugins> </build> <reporting> <plugins> <plugin> <groupId>org.scala-tools</groupId> <artifactId>maven-scala-plugin</artifactId> <configuration> <scalaVersion>${scala.version}</scalaVersion> </configuration> </plugin> </plugins> </reporting> </project> ~~~ * 其中hadoop-hdfs的包一直下载不下来，手动下载添加。 * 方法如下： [Maven手动加入jar](https://blog.csdn.net/macwx/article/details/96268231)